Evidence map›Paper›PMID 23864050›Full record

ReviewNature reviews. Cancer2013

The role of engineering approaches in analysing cancer invasion and metastasis.

Muhammad H Zaman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Engineered hydrogels for mechanobiology.Nature reviews. Methods primers · 2022
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. ReshapingFrontiers in bioengineering and biotechnology · 2020
    Article
  9. Article
  10. In Vitro Modeling of Mechanics in Cancer Metastasis.ACS biomaterials science & engineering · 2018
    Review
  11. Review
  12. Bioinspired Hydrogels to Engineer Cancer Microenvironments.Annual review of biomedical engineering · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A cell-ECM screening method to predict breast cancer metastasis.Integrative biology : quantitative biosciences from nano to macro · 2015
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Muhammad H ZamanThe Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston MA 02215, USA. zaman@bu.edu

Funding

Modeling bi-directional signaling and cytoskeletal dynamics in 3D cell migrationsU01CA177799 · NCI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GERTLER, FRANK B, KAMM, ROGER D · 2013 to 2017
$3.0M
NCI NIH HHS 1U01CA177799-01
6 · The paper itself

Abstract

In the past decade, novel materials, probes and tools have enabled fundamental and applied cancer researchers to take a fresh look at the complex problem of tumour invasion and metastasis. These new tools, which include imaging modalities, controlled but complex in vitro culture conditions, and the ability to model and predict complex processes in vivo, represent an integration of traditional with novel engineering approaches; and their potential effect on quantitatively understanding tumour progression and invasion looks promising.

Indexed as

EngineeringBiocompatible MaterialsHumansModels, BiologicalNeoplasm InvasivenessNeoplasm MetastasisBiocompatible Materials

Identifiers

PMID23864050

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.